New and Published Books
1-10 of 25 results in Chapman & Hall/CRC Computational Science
The Future of Numerical Computing Written by one of the foremost experts in high-performance computing and the inventor of Gustafson’s Law, The End of Error: Unum Computing explains a new approach to computer arithmetic: the universal number (unum). The unum encompasses all IEEE floating-point...
Published February 4th 2015 by Chapman and Hall/CRC
Gain Critical Insight into the Parallel I/O Ecosystem Parallel I/O is an integral component of modern high performance computing (HPC), especially in storing and processing very large datasets to facilitate scientific discovery. Revealing the state of the art in this field, High Performance...
Published October 22nd 2014 by Chapman and Hall/CRC
Tackling Energy Efficiency at Large Scale
State-of-the-Art Approaches to Advance the Large-Scale Green Computing Movement Edited by one of the founders and lead investigator of the Green500 list, The Green Computing Book: Tackling Energy Efficiency at Large Scale explores seminal research in large-scale green computing. It begins with...
Published June 15th 2014 by CRC Press
Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective. It explains how to implement these models using the C programming language. The software tools used in the book include the Gnu...
Published November 12th 2013 by Chapman and Hall/CRC
Few books comprehensively cover the software and programming aspects of reversible computing. Filling this gap, Introduction to Reversible Computing offers an expanded view of the field that includes the traditional energy-motivated hardware viewpoint as well as the emerging application-motivated...
Published September 9th 2013 by Chapman and Hall/CRC
Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers,...
Published June 2nd 2013 by Chapman and Hall/CRC
From Petascale toward Exascale
Contemporary High Performance Computing: From Petascale toward Exascale focuses on the ecosystems surrounding the world’s leading centers for high performance computing (HPC). It covers many of the important factors involved in each ecosystem: computer architectures, software, applications,...
Published April 22nd 2013 by Chapman and Hall/CRC
Enabling Extreme-Scale Scientific Insight
Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms. High Performance Visualization: Enabling Extreme-Scale...
Published October 24th 2012 by Chapman and Hall/CRC
Combinatorial Scientific Computing explores the latest research on creating algorithms and software tools to solve key combinatorial problems on large-scale high-performance computing architectures. It includes contributions from international researchers who are pioneers in designing software and...
Published January 24th 2012 by Chapman and Hall/CRC
With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has never been greater. By explaining key aspects of multicore programming, Fundamentals of Multicore Software Development helps software engineers understand...
Published December 11th 2011 by CRC Press
Contemporary High Performance Computing: From Petascale toward Exascale, Volume Two
To Be Published April 2nd 2015
Industrial Applications of High-Performance Computing: Best Global Practices
To Be Published April 16th 2015
Introduction to Computational Models with Python
To Be Published August 26th 2015
Fundamentals of Parallel Multicore Architecture
To Be Published September 15th 2015
High Performance Agent-Based Modeling
To Be Published October 1st 2015
Parallel Graph Algorithms
To Be Published October 15th 2015
Programming for Hybrid Multicore MPP Systems
To Be Published December 1st 2015